Main
Samuel Workman, Ph.D.
I am a political scientist working at the intersection of public policy, statistics, and data science. I specialize in public policy, the bureaucracy, regulatory politics, and statistics. My interests involve text-as-data, machine learning, and statistical modeling, especially classification, stochastic processes, and maximum likelihood methods. I teach courses in public policy, agenda setting, regulatory policy, and statistics. My current academic projects examine congressional bureaucracies, the regulatory politics of education policy, and agenda setting in food policy.
I also provide statistical consulting in the private sector, specializing in the grocery floral category. My work focuses on data-driven decision-making and management, custom reporting, and data-informed programming. I am a contributor at Towards Data Science, where I write on practical applications of data science and statistics.
Skills & Experience
- Policy research, data management, statistical analysis & modeling, presentation, reporting & data visualization, machine learning
- Project Management, grant writing, team leadership & coordination, public speaking
- Market, sales, and inventory analysis, reporting, and visualization, data-driven decision-making and management
- Languages: , \(\LaTeX\), SAS, SPSS, VBA, SQL, Markdown, CSS, HTML (limited)
- Applications: Rstudio, WinEdt, Beamer, binb, xaringan, MS Word, MS Excel, MS PowerPoint, SQLite, MS Access
Selected Positions
Associate Professor of Political Science
The University of Oklahoma
Norman, OK USA
2020 - 2016
- Faculty Affiliate, National Institute for Risk & Resilience
- Faculty Member, Big Data & Statistics Working Group
- Faculty Affiliate, The Comparative Agendas Project, University of Texas
Chief Data & Statistical Consultant
Hi-Rise Balloons & Floral Supplies, Inc.
Austin, TX USA
2019 - 2018
- Statistical Analysis, Reporting, & Visualization
- Custom reporting & data-informed programming
- Sales, Marketing, & Inventory Analysis
Education
Ph.D., Political Science
University of Washington
Seattle, WV
2009 - 2005
- Fields: American Politics, Public Policy, & Research Methodology
- Dissertation: Economizing Attention: Agendas and the Influence of Bureaucracy in American Politics
- Graduate Fellow of the Center for American Politics & Public Policy
Current Grant
Organizational Problem Solving and the Use of Research in Education Policy
National Science Foundation, Science of Organizations, Award No. 1827494, $455,640
N/A
2021 - 2018
- Samuel Workman (PI) and Deven Carlson (Co-PI)
Scholarship
Problem Definition and Information Provision by Federal Bureaucrats
Cognitive Systems Research, Vol. 43 (June), pp. 140–152
N/A
2017
- Samuel Workman, JoBeth Shafran, & Tracey Bark
The Dynamics of Bureaucracy in the U.S. Government: How Congress and Federal Agencies Process Information and Solve Problems
Cambridge University Press
Cambridge, UK
2015
- Samuel Workman
- Reviewed in Perspectives on Politics , 2016, Vol. 14(2), pp. 572–574.
- Reviewed in the Journal of Public Administration Research & Theory, 2017, Vol. 27(4), pp. 711–713.
Information Processing and Policy Dynamics
Policy Studies Journal, Vol. 37 no. 1, pp. 75–92
N/A
2009
- Samuel Workman, Bryan D. Jones, & Ashley E. Jochim
Organizing Attention: Responses of the Bureaucracy to Agenda Disruption
Journal of Public Administration Research & Theory, Vol. 18 no. 4, pp. 517–541
N/A
2008
- Peter J. May, Samuel Workman, & Bryan D. Jones
Policy Coherence and Policy Domains
Policy Studies Journal, Vol. 34 no. 3, pp. 381–403
N/A
2006
- Peter J. May, Joshua Sapotichne, & Samuel Workman
Popular & Recent
OU Nighlty Super Tuesday 2020
Interviewed by Lindsey Gibbs, OU Nightly Anchor, March 3rd
N/A
2020
- Samuel Workman
Award in Wines, WSET Level 1
Wine & Spirits Education Trust - London, UK
Dallas Wine Education Center
2019
Upcoming Courses
Maximum Likelihood Estimation
University of Oklahoma, P SC 5940
Norman, OK USA
2020
- 2017 & 2020
Bureaucracy & Citizenship
The University of Oklahoma, P SC 3113
Norman, OK USA
2020
- 2014 & 2020